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A prescribed performance reinforcement learning control method relying solely on input and output signals ensures optimal control and guaranteed tracking precision for underactuated unmanned surface vehicles with unknown dynamics. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Reinforcement-learning-based robust optimal control for underactuated USV with prescribed performance

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